code: def __init__(
      self,
      input_dim,
      proj_dim=256,
      lstm_dim=768,
      num_lstm_layers=3,
      use_lstm_with_projection=True,
  ):
      super().__init__()
      self.use_lstm_with_projection = use_lstm_with_projection
      layers = []
      # choise LSTM layer
      if use_lstm_with_projection:
          layers.append(
              LSTMWithProjection(input_dim, lstm_dim, proj_dim)
          )
          for _ in range(num_lstm_layers - 1):
              layers.append(
                  LSTMWithProjection(proj_dim, lstm_dim, proj_dim)
              )
          self.layers = nn.Sequential(*layers)
      else:
          self.layers = LSTMWithoutProjection(
              input_dim, lstm_dim, proj_dim, num_lstm_layers
          )
  
      self._init_layers()
  
file_path: TTS/TTS/speaker_encoder/model.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 1 to create a new SpeakerEncoder object from inherited base classes: nn with example: obj = SpeakerEncoder(input_dim, proj_dim, lstm_dim, num_lstm_layers, use_lstm_with_projection)